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Browsing Fourth Local Conference on Parallel and Soft Computing by Title

Browsing Fourth Local Conference on Parallel and Soft Computing by Title

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  • An Efficient Error Control Scheme for TCP Segments 
    Win, Toe Nai; Aye, Win (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Transmission Control Protocol (TCP) use cumulative acknowledgement scheme to provide reliable stream delivery service. Cumulative acknowledgement has one major inefficiency, it does not provide information about all ...
  • An Efficient Grammar Checking System by Using Shallow Parser 
    Htay, Thandar; Khaing, Myint Myint (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Grammar checking is one of the most widely used tools within natural language processing. Many word processing systems today include grammar checker which can be used to point out various grammatical problem in a text. ...
  • Elimination noisy information on web page 
    Sone, Aye Pyae; Nwe, Nwe (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Web page typically contains many information blocks. They are navigation panels, copyright and privacy notices and advertisements. These blocks are useful for business purposes. These blocks are called as the noisy ...
  • Encrypting and Decrypting Photos Using Cat Chaotic Map 
    Khaing, Thal Ei; Oo, May Phyo (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Digital image encryption/decryption is to transform a meaningful image into a meaningless or disordered image in order to enhance the power to resist invalid attack and in turn enhance the security. This paper presents a ...
  • Encryption and Decryption by using RC5 And DES Algorithms for Data File 
    Wai, Hnin Yu; Nwe, Khine Myat (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Today, it is important that information is sent confidentially over the network without fear of hackers or unauthorized access to it. Cryptography was created as a technique for securing the secrecy of communication ...
  • Encryption Measurement and Security of Images with RC5 and RC6 Algorithm 
    Khaing, Ei Ei; Khaing, Thiri Thitsar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Todays, computers security is needed to protect data and to thwart the hackers. Cryptanalysis on symmetric key cryptography is encouraging the use of larger key sizes and complex algorithms to achieve an unbreakable ...
  • Enhancement of Diagnosis System for Tuberculosis Using Case-based Reasoning 
    Cing, Dim Lam; Thwin, Khin Lay (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Case-based Reasoning (CBR) is a recent approach to problem solving and learning that has got a lot of attention over the last few years. CBR is an Artificial Intelligence method based on a plausible cognitive model of human ...
  • Enhancing Student Data Warehouse by Implementing Dataset Level Transformation in ETL Process 
    Soe, A Nwe; Myo, Khin Mar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Today, every organization is needed not only to record but also to manage and analyze a huge amount of data. Data warehouse and OLAP techniques are valuable tools for today’s competitive, fast evolving world. There have ...
  • Error Detection Based on Generator Polynomial 
    Linn, Kyi Sein; Ko, Lin Min (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    In today world use high speed computers. Communication between one computer and another or between the computer and its peripheral devices must be as error free as possible. However, error free data transmission in ...
  • Error Detection Of HTML Code Using Pushdown Automata (PDA) 
    Aung, Thida; Nyunt, Thi Thi Soe (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Pushdown Automata (PDA) is one of the hierarchies of automata theory models appropriate for the design of compiler. This system implemented to detect the compile errors of the HTML program when basic beginners who write ...
  • Evaluation of Symptoms in Heart Disease Patients by using k - Nearest Neighbor Classification 
    Maw, Hnin Yu; Sandar, Khin; Oo, May Phyo (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    In many application domains, classification of complex measurements is essential in a diagnosis process. Correct classification of measurements may in fact be the most critical part of the diagnostic process. In this system, ...
  • Evaluation System For International Student Application Using Nearest-neighbor Case Retrieval Technique 
    Nyunt, Khine Thuzar; Hole, Gilmour (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Important decisions are made based not on the information-rich data stored in databases but rather on a decision maker’s intuition because the decision maker does not have the tools to extract the valuable knowledge embedded ...
  • Experimentation Based on Decision Tree Induction Analysis for Hepatitis Patients 
    Sin, Min Min Shwe; Sandar, Khin; Oo, May Phyo (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    This paper is about Hepatitis medical diagnosis using decision tree induction algorithm in machine learning. This paper describes experimentation of decision tree induction analysis for hepatitis patients. A chain reaction ...
  • Extraction of Association Rules from Education Data 
    Chaw, Khin Ei Ei; Htun, Moe Sanda (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Data mining concerns with developing methods for discovering knowledge from data that come from educational environment. This paper presents finding interesting patterns from educational database. Association rule mining ...
  • Extraction of Weather Keywords from News Topic 
    Yee, Hnin Wut; Tun, Myint Thu Zar (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    A large and growing number of web pages display contextual advertising based on keywords automatically extracted from the text of the page, and this is a substantial source of revenue supporting the web today. Despite the ...
  • Feature Extraction and Recognition of Handwritten English Character Using Artificial Neural Network 
    Min, Ei Phyo; Thein, Yadana (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    This paper presents the development of English Handwritten character recognition system, which uses local and global features of English characters by applying the concept of feature feeding. After each character is ...
  • Feature Selection for Classification of Kidney-Renal Failure 
    Htun, Phyu Phyu; Htun, Moe Sanda (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Several recent machines learning publication demonstrates the utility of using feature selection algorithm in supervised learning tasks. Among these, sequential feature selection algorithms are receiving attention .In the ...
  • Feature Selection For Medical Diagnosis Of Fever 
    Min, War War (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    The system based on feature selection methods of artificial intelligence (AI). Artificial Intelligence becomes the major subject. Machine learning technology is one of the branches of the AI. The human brain provides ...
  • Finding Association Rules from Sales Data with Apriori Algorithm 
    Thein, Shwe Sin (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    The association rule mining is one of the primary sub-areas in the field of data mining . This type of mining ,the association rule searches for interesting relation among item in a given data set , has been used in numerous ...
  • Finding Frequent Itemsets of Healthy Shop Products Using APRIORI Algorithm 
    Khaing, Ngwe Zin; Sandar, Khin; Oo, May Phyo (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Data mining in an area in the intersection of machine learning statistics, and database is to use searching for relationships and global pattern that exits, but is hidden in large database. The discovery of interesting ...

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